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Influencing Factor of Price, Facilities, and Destination Image on Customer Satisfaction toward Glamping Revisit Intention in Chiang Mai, Thailand
Purpose – the purpose of this study is to investigate the influencing factor of Price, Facilities, and Destination image on customer satisfaction toward glamping revisit intention in Chiang Mai, Thailand. and understand the factors that contribute to their revisit intention. Design/Methodology/Approach – This study utilizes both primary and secondary data collection techniques to examine the influencing factor of price, facility, and destination on customer satisfaction toward glamping revisit intention in Chiang Mai, Thailand. The data was gathered from 400 respondents, consisting of glamper in Chiang Mai including both Thai and non-Thai tourists. Additionally, this research draws upon the theoretical framework from previous studies to construct a new conceptual framework. Findings – This study is intended to find the factors influencing customer satisfaction. Followed by investigating the role of customer satisfaction that effect glamping revisit intention among the tourists in Chiang Mai, Thailand. It’s too narrow focus on Chiang Mai restricts the generalizability of its findings to other glamping destinations. Research Limitations/Implications – the limitations of the research displayed several element limits among the price, facilities and destination image on customer satisfaction toward glamping revisit intention in Chiang Mai, Thailand. Narrowly examining only these factors, it overlooks the potential influence of other variables that may impact tourists' choices of glamping locations. Originality/value – This study focuses on influencing factors of price, facilities, and destination image on customer satisfaction toward glamping revisit intention in Chiang Mai, Thailand.
Keywords – Price, Facilities, Destination image, customer satisfaction, glamping, revisit intention
JEL classification code – L83, M3
The Human factor: Enhancing Intelligence Capabilities with People-Centric Knowledge Management
Lately, a trend has emerged favouring an approach centred around individuals within intelligence tasks, acknowledging the paramount role that humans play in extracting essential knowledge. By tapping into human intellect's potential, entities can improve their awareness of situations and uncover insights potentially overlooked by purely technological methods. Recognizing both the historical backdrop and technological progressions in intelligence skills is indispensable for crafting efficient approaches to employ people-focused knowledge administration in espionage activities. Through embracing systems for managing knowledge, these agencies are enabled to refine their procedures, enhance interaction amongst varying sectors, and utilize shared know-how to adeptly confront intricate issues. Capacity for intelligence is seen as the ability to grasp and utilize know-how, especially when resolving problems, which gets shaped by several elements such as genetic makeup and surrounding influences. The breadth of intelligence goes past mere cognitive skills to include aspects like emotional, social, and cultural intellects, showcasing human cognition's complex aspect. The current paper attempts to investigate the various capacities within the existing intelligence systems to enhance the people-centric knowledge systems with a view to optimise their potentials for deliverance and applications in all sphere of their lives.
 
Marketing Mix and Real Estate Purchase Intention through Social Media Channel
The purpose of this study is to determine if Marketing Mix effect purchase intention of real estate through social media channel in Thailand. In this study, 7Ps of marketing mix were used as independent variables and Purchase Intention was dependent variable. The study used quantitative research. Descriptive and Inferential Statistics were used to analyze data. This research was conducted in Thailand during 2023 with sample size of 405 who are people who live in Thailand and have used social media. With Regression Analysis, the result showed that from all 7Ps (product, price, place, promotion, people, process, and physical evidence), only Product, Place, and Physical evidence have significantly affect purchase intention of real estate through social media channel in Thailand. Marketers may focus on Product, Place, and Physical Evidence in order to increase Real Estate Purchase Intention through social media
Sustainability of Digital Education: Impact on College Students' Well-being and E-Classroom Dynamics
The present quantitative study examines the attitudes of 390 commerce undergraduate students toward digital education, with a focus on sustainability implications. Using self-reported questionnaires administered through SMART software, data were collected to assess perceived ease of use, usefulness, psychological well-being, and e-classroom interaction. Stratified random sampling ensured representativeness across different academic years and demographics in the Madhya Pradesh region. Descriptive statistics, correlation analysis, and regression analysis were conducted using Smart Pls-4. Results highlight varying perceptions among students regarding digital education, with most finding it user-friendly and useful, yet concerns persist regarding e-classroom interaction and psychological well-being. The study identifies predictors of attitudes toward digital education, emphasizing the importance of tailored approaches to promote sustainability and meaningful engagement. Ethical considerations were prioritized, ensuring participant confidentiality and adherence to ethical guidelines. These findings contribute insights for educators, policymakers, and institutions seeking to enhance digital learning practices sustainably in the 21st century
Management Guidelines for Listed Companies on the Stock Exchange of Thailand for Moving Towards Sustainability
The United Nations introduced “Transforming our World: the 2030 Agenda for Sustainable Development” as a global action plan with 17 Sustainable Development Goals (SDGs) and 169 targets. In alignment with this agenda, the Stock Exchange of Thailand (SET) launched the Thailand Sustainability Investment Index (THSI) in 2015 to promote Environmental, Social, and Governance (ESG) factors. However, the number of sustainable companies has decreased, and Thailand’s economic competitiveness and foreign direct investment (FDI) have declined. This research thus aimed to develop guidelines for becoming a sustainable company using a mixed-methodology approach, including qualitative interviews, survey study, and focus group discussions. Quantitative data came from a survey of 500 sustainable companies listed on SET. The findings indicated that guidelines for SET-listed companies to achieve sustainability should consist of four latent variables, arranged in order of importance: organizational support, environmental protection, social responsibility, and corporate good governance. The most critical factor identified is the accurate and transparent reporting of financial performance. Additionally, the tested hypothesis indicated differences in market capitalization with overall aspects significantly different at the 0.05 level. These insights provide valuable strategies for businesses, policymakers, and educational institutions dedicated to advancing sustainable development and improving economic competitiveness in Thailand
Key Determinants for Users’ Intention To Use Smart Home Technology: A Case of Reseidents in Mianyang, Yibin and Wanzhou, China
Purpose: The objective of this research is to investigate the various determinants that affect residents' inclination to adopt smart home technology in the cities of Mianyang, Yibin, and Wanzhou, located in China. The conceptual framework encompasses factors such as perceived usefulness, perceived ease of use, personal innovativeness, trust, hedonic motivation, social influence, price value and intention to use. Research design, data, and methodology: In this study, the target population consisted of 500 smart home users residing in Mianyang, Yibin, and Wanzhou, China. To ensure the content validity and reliability of the questionnaire, Item-Objective Congruence (IOC) and a pilot test of Cronbach's Alpha were employed before distribution. Data analysis was conducted using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) to assess the model's goodness of fit and validate the causal relationships among variables for hypothesis testing. Results: All hypotheses were found to be supported. The variables of perceived usefulness, perceived ease of use, personal innovativeness, trust, hedonic motivation, social influence, and price value were discovered to significantly influence the intention to use smart home technology. Additionally, it was observed that perceived ease of use exerted a significant impact on perceived usefulness. Conclusions: In particular, it has important theoretical guidance and practical value for improving the user experience of Chinese residents using smart homes
Tourism Mobile Applets: Factors Affecting Tourists’ Behavioral Intention and Use Behavior in Shanghai, China
Purpose: This study aimed to investigate the factors influencing the behavioral intention and use behavior of Shanghai tourists towards Tourism Mobile Applets. The research framework focused on exploring the impact of trust, facilitating conditions, social influence, perceived ease of use, perceived usefulness, use behavior, and behavioral intention. Research design, data, and methodology: A quantitative research approach was employed, involving a sample of 500 tourists in the region. Non-probabilistic sampling techniques, including judgment sampling and quota sampling, were utilized. Prior to data collection, the project quality was assessed using the indicator of project purpose consistency. Additionally, the Cronbach's alpha coefficient values were calculated based on a preliminary test involving 30 participants. Statistical analysis, including validity, reliability, and goodness of fit tests, was conducted using Confirmatory Factor Analysis (CFA) and Structural Equation Model. Results: The study revealed that the most significant factors influencing the behavioral intention to use tourism mobile applets were facilitating conditions and trust. Moreover, social influence, perceived ease of use, and perceived usefulness were found to be important factors affecting the behavioral intention to use tourism mobile applets. Furthermore, behavioral intention emerged as a crucial factor impacting the use behavior of tourism mobile applets. Conclusions: Based on the findings, it is recommended that enterprises prioritize improving the facilitating conditions, trust, social influence, perceived ease of use, and usefulness of tourism mobile applets. Enhancing these factors can lead to an improvement in tourists' behavioral intention and utilization of such applets
An Examination of Factors Impacting Attitude, and Intention to Use Mobile Learning Among Female College Students In Guizhou, China
Purpose: The objective of this study is to examine the determinants affecting the attitudes and intentions of female college students in Guizhou, China, regarding the adoption of mobile learning. The conceptual framework proposes a causal relationship among perceived usefulness, perceived ease of use, compatibility, perceived enjoyment, attitude, cognitive need, social influence and intention to use. Research design, data, and methodology: The researcher utilized the quantitative method (n=500), distributing questionnaires to female college students who adopt mobile learning at the Guizhou Institute of Technology. The sampling techniques include judgmental and stratified random sampling in selecting students who adopt three mobile learning platforms. The Structural Equation Model (SEM) and Confirmatory Factor Analysis (CFA) were adopted for the data analysis, including model fit, reliability, and validity of the constructs. Results: The results demonstrate that perceived usefulness and ease of use significantly impact attitude, while compatibility significantly impacts perceived enjoyment, compatibility, perceived enjoyment, attitude, cognitive need, and social influence have a significant impact on intention to use, respectively. Conclusions: Educators should provide exemplary courses and models to foster a positive attitude toward technology among students. Furthermore, the study found that cognitive needs and social influence also significantly impact the intention to use mobile learning
Influential Factors Impacting Users’ Behavioral Intentions Regarding Facial Recognition Payment Systems of Mobile Payment Platforms in Wuhan, China
Purpose: This study aims to investigate the possible factors that drive customers’ willingness to utilize facial recognition payment and provide information that companies can refer to spread the face recognition payment service successfully. Research design, data, and methodology: Data was collected from 500 Chinese mobile payment users using quantitative research methodology, employing a questionnaire as the data collection tool. The sampling methods used in this research included judgmental, quota, and convenience sampling. To ensure the questionnaire’s validity and reliability, a pilot test was conducted with 50 participants, using the Item-Objective Congruence (IOC) index and Cronbach’s alpha for reliability assessment. Data obtained from the study were analyzed using Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: The results show that privacy control significantly affects privacy concerns. Behavioral intention is significantly affected by privacy concerns, perceived usefulness, perceived ease of use, and personal innovativeness but not by facilitating conditions. In addition, perceived privacy risk has no significant effect on privacy concerns. Security has no significant effect on perceived usefulness. Conclusions: The results of this study will be of value to various groups associated with E-payment services, such as mobile network operators, financial institutions, and payment service providers
Conducting Through Parents on Factors Influencing Primary Students’ Behavioral Intention to Use Computer Painting in Chongqing, China
Purpose: Satisfaction is a key predictor and prerequisite for behavioral intention using computer painting. The purpose of this study is to explore the view of parents on factors influencing students’ behavioral intention to use computer painting in primary schools in Chongqing, China. The research model offers key variables, including emotional value, economic value, social value, perceived usefulness, enjoyment, satisfaction, and behavioral intention. Research design, data, and methodology: Using quantitative method and questionnaire survey as a tool, sample data were collected from 500 parents on behalf of students. The index of item-objective congruence (IOC) and Cronbach’s Alpha pilot test were used to test the validity and reliability of the questionnaire before sending out the questionnaire. Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) are used to analyze the data, verify the model’s goodness of fit, and confirm the causal relationship between variables. Results: The results confirm that emotional value, economic value, and perceived usefulness significantly influence satisfaction towards behavioral intention. However, social value and enjoyment have no significant influence on satisfaction. Conclusions: These findings provide valuable insights into the relationships between these variables and contribute to a better understanding of the factors influencing satisfaction and behavioral intention in the study context